code: def datetime_and_timedelta_converter(dtype):
      """
      Converts a Numpy dtype to a converter method if applicable.
      The converter method takes in a numpy array of objects of the provided
      dtype and returns a numpy array of the numbers backing that object for
      statistical analysis. Returns None if no converter is necessary.
      :param dtype: The numpy dtype to make a converter for.
      :return: The converter method or None.
      """
      if np.issubdtype(dtype, np.datetime64):
  
          def datetime_converter(dt_list):
              return np.array(
                  [pd.Timestamp(dt).value for dt in dt_list]
              )
  
          return datetime_converter
      elif np.issubdtype(dtype, np.timedelta64):
  
          def timedelta_converter(td_list):
              return np.array(
                  [pd.Timedelta(td).value for td in td_list]
              )
  
          return timedelta_converter
      else:
          return None
  
file_path: mlflow/mlflow/recipes/cards/pandas_renderer.py
imports: import base64
  import sys
  from typing import Iterable, Tuple, Union
  import numpy
  import pandas
  from packaging.version import Version
  from mlflow.exceptions import MlflowException
  from mlflow.protos import facet_feature_statistics_pb2
  from mlflow.recipes.cards import histogram_generator
label_desc: Use image node_id 2 for calling a global function with example usage: datetime_and_timedelta_converter(dtype) and returns: datetime_converter, np, timedelta_converter, None, np